federico-m-lopez

federico-m-lopez's Stars

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.2k3941094.6k

• coollabsio/coolify

  An open-source & self-hostable Heroku / Netlify / Vercel alternative.

  Language:PHP35.8k1202.1k2k

• payloadcms/payload

  Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly. Use Payload as a headless CMS or for building powerful applications.

  Language:TypeScript30.6k1282.8k1.9k

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python13.4k1233931.4k

• Datalux/Osintgram

  Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname

  Language:Python10k2011.1k2.2k

• finos/perspective

  A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

  Language:C++8.7k1258351.2k

• flyteorg/flyte

  Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  Language:Go5.9k2583.3k671

• adrianhajdin/healthcare

  Build a healthcare platform that streamlines patient registration, appointment scheduling, and medical records, and learn to implement complex forms and SMS notifications.

  Language:TypeScript2.2k1956565

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k44210221

• Marigold/universal-portfolios

  Collection of algorithms for online portfolio selection

  Language:Jupyter Notebook7833361216

• laiguokun/LSTNet

  Language:Python6702522169

• hudson-and-thames/arbitragelab

  ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

  Language:Python518165168

• MichSchli/RelationPrediction

  Implementation of R-GCNs for Relational Link Prediction

  Language:Python4481017104

• MarcosCarreira/DermanPapers

  Notebooks that replicate original quantitative finance papers from Emanuel Derman

  Language:Jupyter Notebook40914057

• cszhangzhen/HGP-SL

  Hierarchical Graph Pooling with Structure Learning

  Language:Python33141955

• mohammadasghari/dqn-multi-agent-rl

  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

  Language:Python3260162

• jachiam/cpo

  Constrained Policy Optimization

  Language:Python3088582

• ghsama/ConvTransformerTimeSeries

  Convolutional Transformer for time series

  Language:Python2713953

• GestaltCogTeam/D2STGNN

  Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

  Language:Python1714817

• majianthu/pycopent

  Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

  Language:Python1593031

• SpencerPao/Quantitative_Strategies

  This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm.

  Language:Jupyter Notebook1305053

• jmichaux/dqn-pytorch

  DQN to play Atari Pong

  Language:Python1127249

• KangOxford/AlphaTrade

  JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

  Language:Jupyter Notebook1079619

• Topaceminem/DCC-GARCH

  DCC GARCH modeling in Python

  Language:Python861428

• huankoh/CST-GL

  Multivariate Time-Series Anomaly Detection with GNN.

  Language:Python50375

• markdregan/FreqAI-Marcos-Lopez-De-Prado

  Implementation of "Advances in Financial Machine Learning" quant trading strategies in python (building upon Freqtrade / FreqAI open source project)

  Language:Python494018

• sigurdroemer/rough_volatility

  The pricing models and neural network representations used in part one of the paper "Empirical analysis of rough and classical stochastic volatility models to the SPX and VIX markets".

  Language:Jupyter Notebook452010

• bstemper/deep_rough_calibration

  C Bayer, B Stemper (2018). Deep calibration of rough stochastic volatility models.

  Language:Jupyter Notebook363218

• wojtasWR/Volatility-is-rough

  The content of this repository is mainly about the "Volatility is rough" paper written by Jim Gatheral, Thibault Jaisson and Mathieu Rosenbaum.

  Language:Jupyter Notebook52

• NoelJacob/systematic-trading

  Language:Python30013